CN109271663A - A kind of urban road maintenance policy optimization method based on main body emulation - Google Patents
A kind of urban road maintenance policy optimization method based on main body emulation Download PDFInfo
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Abstract
The invention discloses a kind of urban roads based on main body emulation to conserve policy optimization method, and this method aims to solve the problem that the conceptual design problem of road maintenance strategy, determines a kind of preferred plan of road maintenance strategy.Its quality requirement and time requirement according to road maintenance forms road maintenance scheme.Then, on the basis of determining road maintenance scheme, the distribution of the emulation based on main body is carried out to the traffic flow of traffic system, and Transportation costs are calculated according to allocation result, return forms road maintenance scheme, and mutual iteration in this way determines the preferred plan of road maintenance strategy.Optimization method provided by the invention comes to conserve entire road network strategy progress master-plan and optimization from the visual angle of traffic system, improves the service level of road maintenance.
Description
Technical field
The present invention relates to urban roads to conserve policy optimization method, more particularly to a kind of city based on main body emulation
Road maintenance policy optimization method.
Background technique
Traffic trip demand and private car ownership it is soaring, greatly aggravated the pressure of urban road network.Due to
Always there is different degrees of destruction, road function in the influence of road load, weather and other environmental factors, pavement of road situation
The integrity of energy is also destroyed.In order to guarantee road safety, be normally used, road management person must road pavement advised greatly
The maintenance of mould.
However, urban road maintenance and traffic trip are a pair of natural contradiction, the maintenance of road often occupies road
Resource has an impact the trip of traveler.Unreasonable road maintenance strategy can occupy excessive path resource, aggravate city
The congested in traffic problem in city.Existing road maintenance technology rests on road maintenance construction level more, ignores road maintenance pair
The influence of Traffic Systems.Meanwhile traveler at this stage not can guarantee and grasp complete road information, it is difficult to pass through base
Road maintenance strategy is obtained to the true impact of traffic trip in the conventional traffic distribution method of user equilibrium theory.Therefore, such as
It is the problem that city manager faces that, which finds scientific and reasonable road maintenance strategy, and road can be reduced to the greatest extent by, which how constructing, supports
The influence to urban transportation is protected, maintenance cost is saved, and improve the service level of road maintenance, has become urbanization process
In the main problem that faces.
Summary of the invention
Goal of the invention: the purpose of the present invention is design a kind of urban road maintenance policy optimization side based on main body emulation
Method is efficiently determined according to the true path housing choice behavior of traveler in conjunction with localized branches algorithm and Netlogo emulation technology
Make road maintenance cost and the smallest road maintenance strategy of traveler Trip Costs, reduces road maintenance to the shadow of urban transportation
It rings, improves the service level of road maintenance.
Technical solution: in order to realize that above-mentioned design requirement, the present invention take following technical scheme: (1) determining road maintenance
Arrangement of time, formed meet road maintenance quality and time requirement road maintenance strategy；(2) according to the true of traveler
Housing choice behavior constructs the intersection section preference pattern based on imperfect information theory；(3) using traveler as simulation object,
By Netlogo software modeling, realizes the emulation distribution based on main body, measure road maintenance with travel time cost and traffic is gone out
Capable delay；(4) the road maintenance strategy for meeting curing condition is constantly formed by localized branches algorithm, with imitating based on main body
Mutual iteration is really distributed, determines the preferred plan of road maintenance strategy.
The step (2) include the following steps: (2-1) calculate intersection to next intersection shortest path, under all the way
The degree of crowding, intersection waiting time and other extra costs of section；Four departmental costs that (2-2) basis is calculated, by t
Cost f of the moment vehicle from intersection i to intersection jij(t) it is set as μ1×sij(t)+μ2×cij(t)+μ3×dij(t)+m,
In, sij(t), cij(t) and dij(t) be t moment respectively from intersection i to the shortest path of intersection j, lower a road section it is crowded
The queuing time of degree and vehicle at section (i, j).M is extra cost (driving habit of such as driver, driving comfort degree
Deng).μ1,μ2,μ3It is the measurement weight of different factors；(2-3) acquires traveling efficacy according to cost, and calculates traveler and intersecting
Select probability P of the mouth to different sections of highwayij(t)。
The step (3) include the following steps: (3-1) collect basic road network information (position in such as section, length,
Width, number of track-lines), traffic information (traffic flow, running velocity, Maximum speed limit etc.)；(3-2) exists according to information above
Road network is established in Netlogo software, and Traffic signal control is set, the practical impedance in section is set, and setting traffic flow is joined
Several and vehicle operation rule；(3-3) by the simulation result of output, calculate the trip of road maintenance cost and traveler at
This, and delay of the road maintenance to traffic trip is measured with travel time cost.
The utility model has the advantages that
Urban road provided by the invention based on main body emulation conserves policy optimization method, has the advantage that 1, base
In main body emulation technology, more true traveler Tactic selection can be rapidly obtained as a result, obtaining more true road maintenance
Strategy influences；2, the optimisation technique of perfect urban road maintenance strategy, considers influence of the road maintenance to Traffic Systems,
The Trip Costs for reducing road maintenance cost and traveler, not only increase the trip satisfaction of traveler, also improve road
The service level of maintenance；3, good decision-making foundation is provided to policymaker, and can be applied to intelligentized traffic system
In.
Detailed description of the invention
Fig. 1 is flow chart of the invention
Specific embodiment
The present invention is described in detail with reference to the accompanying drawing.
As shown in Figure 1, the present invention the following steps are included:
1) determine that the arrangement of time of road maintenance, formation meet the quality of road maintenance and the road maintenance plan of time requirement
Slightly, the upper layer model of road maintenance policy optimization is constructed, main process is as follows:
A, optimization aim is established
The target of road maintenance optimization is to find out the minimum value of row time cost and section maintenance cost summation, then target letter
Number setting are as follows:
Wherein, vtIt is the average time cost of traveler, xdijkBe indicate vehicle k whether at the d days by section (i, j)
0-1 variable, tdijkAnd wdijkIt is at the d days respectively, vehicle k passes through running time and the waiting time of section (i, j), cuIt is
The maintenance cost on unit road surface, lijIt is the length in section (i, j), ydijIt is the 0-1 for indicating section (i, j) and whether being conserved at the d days
Variable.
φijIt is continuous road maintenance cost parameter, when continuous section is conserved simultaneously, φij=0.8 (according to difference
The settable different value of maintenance technology)；Otherwise, φij=1.The section interconnected when two or more is same in one day
When conserving, because of the saving of maintenance vehicle and material transportation cost, wherein the both less than individually maintenance of the maintenance cost in each section
Cost.
B, basic flow constrains
It is as follows to establish flow equilibrium equation:
j∈N
Wherein, xd0jk, xdi0kIt is xdijkSpecial shape, when vehicle k is in the d days trip purposes i point, then
xdi0k=1；When vehicle k is when the d days starting points are j, then xd0jk=1.
C, road maintenance constrains
Vehicle may only travel on the section that do not safeguard:
xdijk≤1-ydij i,j∈N
Guarantee that all sections are only primary by maintenance:
j∈N
The time-constrain of maintenance work is set, and maintenance work must be completed in the regular hour constrains:
d≤Dmax
Decision variable xdkij,ydijIt is 0-1 variable, is defined as follows:
xdijk,ydij∈{0,1}i,j∈N
2) it according to the true housing choice behavior of traveler, constructs the intersection section based on imperfect information theory and selects mould
Type；
Traveler at this stage, which not can guarantee, grasps complete road information, is merely able to public by road information electronics
It accuses, grasps the road information of lower a road section.According to this trip situation, the intersection road based on imperfect information theory is constructed
Detailed process is as follows for section preference pattern:
A, prime cost is obtained
Calculate intersection to the shortest path of next intersection, the degree of crowding of lower a road section, intersection waiting time with
And other extra costs.Wherein, shortest path is acquired by Dijkstra shortest path algorithm.
B, cost is calculated
Cost f according to four departmental costs being calculated, by t moment vehicle from intersection i to intersection jij(t) it is arranged
For μ1×sij(t)+μ2×cij(t)+μ3×dij(t)+m, wherein sij(t), cij(t) and dijIt (t) is t moment respectively from intersection
The queuing time of the shortest path of i to intersection j, the degree of crowding of lower a road section and vehicle at section (i, j).M be additionally at
This (driving habit of such as driver, driving comfort degree).μ1,μ2,μ3It is the measurement weight of different factors.
C, build path preference pattern
Traveling efficacy, the corresponding effectiveness U of different sections of highway selection are acquired according to costij(t) it is expressed as cost fij(t)
It is reciprocal:
By the calculation method of decomposition model select probability, traveler is calculated in select probability of the intersection to different sections of highway
It is as follows:
Wherein, PijIt (t) is to select the intersection j as the probability of next driving direction in the vehicle of intersection i.
3) it using traveler as simulation object, by Netlogo software modeling, realizes the emulation distribution based on main body, uses
Travel time cost measures delay of the road maintenance to traffic trip；
A, data collection
It collects basic road network information (position in such as section, length, width, number of track-lines), traffic information (traffic flow,
Running velocity, Maximum speed limit etc.).
B, road network is established
Road network is established in Netlogo software according to information above, and Traffic signal control is set, and section is set
Practical impedance.
C, traffic flow parameter and vehicle operation rule are set
Specific step is as follows for setting traffic flow parameter and vehicle operation rule:
Step 1: the corresponding math equation of minimax travel speed, acceleration and deceleration strategies of vehicle is set.
Step 2: traffic is generated by the Monte-Carlo Simulation (Monte Carlo simulation) of OD trip survey table
Trip.
Step 3: according to the intersection section preference pattern of building, vehicle being set in intersection and selects next driving direction
Rule.
Step 4: vehicle follow the bus rule is arranged according to GM model, GM model is as follows:
Wherein, an+1(t+T) be on road (n+1)th vehicle time point t+T acceleration,It is n-th on road
+ 1 vehicle time point t+T speed, Δ v (t) and Δ x (t) be respectively n-th vehicle and (n+1)th vehicle speed difference and away from
Deviation away from.C, m and l are constants.
D, by the simulation result of output, the Trip Costs of road maintenance cost and traveler are calculated, and use the travel time
Cost measures delay of the road maintenance to traffic trip.
4) the road maintenance strategy for meeting curing condition is constantly formed by localized branches algorithm, with the emulation based on main body
Mutual iteration is distributed, determines the preferred plan of road maintenance strategy.
The mixed integer programming universal model of road maintenance policy optimization is as follows, and decision variable set is divided into Γ, Ω
Two subsets, wherein Γ is pure 0-1 variables collection, other integer sets that Ω is non-zero -1.
(P)min cTx
S.t.Ax=b
xj∈{0,1}
xj≥0
When (P) there are feasible solutionsWhen, after giving positive integer k, then by feasible solutionK-OPT neighborhoodIt is set as
(P) feasible solution set, and meet following constraint:
Current solution space is cut into two parts:
Specific step is as follows for localized branches algorithm:
Step 1: generating initial solution, the i.e. node of decision tree.
Step 2: the initial solution based on generation initializes first local tree.Firstly, generating the subproblem of left branch, together
When be added branch constraintIn the case where meeting left branch point calculating time-constrain, algorithm is had found better than just
Begin solutionSolutionIt then will solutionAs current solution.Then return to root node, and the pact that will be added in algorithm before constraint
BeamBy constrainingSubstitution.At the same time, will pass throughThe new left branch section generated
Point is added.If feasible solutionLeft branch point calculate the time do not shorten, then give up feasible solutionNeighborhood
Step 3: iterative step, local search terminate at:
Step 3-1: more preferably solving if found, and continues to expand, and uses more excellent solution above-mentioned as the initial solution of the tree.
Step 3-2: if can not find feasible solution, diverse mechanisms are run to increase the rich of solution.Diverse mechanisms
It is divided into two kinds, including the diversification of soft and hardness.Soft diversification is expanded with reference to solutionContiguous range；Rigid diversification machine
System is to introduce constraint
Step 4: solving the remainder of search tree.
Step 5: returning to the optimal solution found.
The above is only a preferred embodiment of the present invention, it is not used in and limits the scope of the invention, reading this hair
After bright, those skilled in the art fall within the application appended claims to the modification of various equivalent forms of the invention and are limited
Fixed range.
Claims (3)
1. a kind of urban road based on main body emulation conserves policy optimization method, it is characterised in that formation meets maintenance quality and wants
The road maintenance scheme that integration time requires carries out the distribution of the emulation based on main body to the traffic flow of traffic system, determines road
Conserve the preferred plan of strategy；The specific implementation of this method includes the following steps:
(1) it determines the arrangement of time of road maintenance, forms the road maintenance strategy of the quality and time requirement that meet road maintenance；
(2) according to the true housing choice behavior of traveler, the intersection section preference pattern based on imperfect information theory is constructed；
(3) using traveler as simulation object, by Netlogo software modeling, the emulation distribution based on main body is realized, with trip
Time cost measures delay of the road maintenance to traffic trip；
(4) the road maintenance strategy for meeting curing condition is constantly formed by localized branches algorithm, with the emulation based on main body point
With mutual iteration, the preferred plan of road maintenance strategy is determined.
2. the urban road according to claim 1 based on main body emulation conserves policy optimization method, it is characterised in that: institute
Step (2) is stated to include the following steps:
(2-1) calculate intersection to the shortest path of next intersection, the degree of crowding of lower a road section, intersection waiting time with
And other extra costs；
Four departmental costs that (2-2) basis is calculated, the cost f by t moment vehicle from intersection i to intersection jij(t) it sets
It is set to μ1×sij(t)+μ2×cij(t)+μ3×dij(t)+m, wherein sij(t), cij(t) and dijIt (t) is t moment respectively from intersection
The queuing time of the shortest path of mouthful i to intersection j, the degree of crowding of lower a road section and vehicle at section (i, j).M is additional
Cost (driving habit of such as driver, driving comfort degree).μ1,μ2,μ3It is the measurement weight of different factors；
(2-3) acquires traveling efficacy according to cost, and calculates select probability P of the traveler in intersection to different sections of highwayij(t)。
3. the urban road according to claim 1 based on main body emulation conserves policy optimization method, it is characterised in that: institute
Step (3) is stated to include the following steps:
The basic road network information (position in such as section, length, width, number of track-lines) of (3-1) collection, traffic information (traffic flow,
Running velocity, Maximum speed limit etc.)；
(3-2) establishes road network according to information above in Netlogo software, and Traffic signal control is arranged, and section is arranged
Practical impedance, traffic flow parameter and vehicle operation rule are set；
(3-3) by output simulation result, calculate road maintenance cost and traveler Trip Costs, and with the travel time at
Delay of this measurement road maintenance to traffic trip.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113610283A (en) * | 2021-07-23 | 2021-11-05 | 广州市北二环交通科技有限公司 | Highway road occupation construction plan optimization method, device, medium and product based on simulation evaluation |
| CN114582121A (en) * | 2022-02-16 | 2022-06-03 | 同济大学 | Road network level full-life maintenance optimization method considering carbon emission |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113610283A (en) * | 2021-07-23 | 2021-11-05 | 广州市北二环交通科技有限公司 | Highway road occupation construction plan optimization method, device, medium and product based on simulation evaluation |
| CN113610283B (en) * | 2021-07-23 | 2024-04-09 | 广州市北二环交通科技有限公司 | Highway occupying road construction plan optimization method, equipment, medium and product based on simulation evaluation |
| CN114582121A (en) * | 2022-02-16 | 2022-06-03 | 同济大学 | Road network level full-life maintenance optimization method considering carbon emission |
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Application publication date: 20190125 |